Thu Feb 20 23:30:00 UTC 2025: ## AI Tool Predicts Antibiotic Resistance in Real Time

**New Delhi, February 21, 2025** – Researchers from IIIT-Delhi have developed an AI-powered tool, AMRSense, to predict and track antibiotic resistance patterns in real-time. The tool, deployed in collaboration with CHRI-PATH, Tata 1mg, and the Indian Council of Medical Research (ICMR), analyzes routine hospital data to provide insights into antimicrobial resistance at the global, national, and hospital levels.

A study published in *The Lancet Regional Health – Southeast Asia* showcased AMRSense’s ability to identify relationships between antibiotic resistance and predict future trends. Analyzing six years of data from 21 tertiary care centers, the researchers demonstrated that the AI accurately predicted increases in resistance to certain antibiotics based on changes in resistance to others. This allows for earlier interventions and more effective stewardship.

The team also developed the AMROrbit Scorecard, an award-winning tool that visually represents the trajectory of antibiotic resistance for hospitals and countries, facilitating timely interventions to maintain low resistance levels. The scorecard compares individual hospital or country data against global averages, providing real-time insights.

While the model showed accuracy in capturing past trends, further data is needed to fully assess its predictive capabilities in the face of unexpected events like the COVID-19 pandemic. The researchers acknowledge limitations, stating that the model relies on consistent, granular surveillance data and may not be applicable in regions lacking such data. Future plans include integrating hospital data with antibiotic sales and community-level data to analyze environmental factors contributing to resistance.

The AMRSense tool and AMROrbit Scorecard offer a novel approach to combating antibiotic resistance, providing actionable insights to clinicians and public health officials for more effective interventions.

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